PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals.
Zhihao Zhang|Siwen Luo|Junyi Chen|Sijia Lai|Siqu Long|Hyunsuk Chung|Soyeon Caren Han
| Anthology ID: | DBLP:conf/wsdm/ZhangLCLLCH23 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1152-1155 |
| URL: | https://doi.org/10.1145/3539597.3573039 |
| DOI: | https://doi.org/10.1145/3539597.3573039 |
| DBLP: | conf/wsdm/ZhangLCLLCH23 |
| BibTeX: |
@inproceedings{zhang-2023-piggyback,
author = {Zhihao Zhang and
Siwen Luo and
Junyi Chen and
Sijia Lai and
Siqu Long and
Hyunsuk Chung and
Soyeon Caren Han},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{PiggyBack: Pretrained Visual Question Answering Environment for Backing up Non-deep Learning Professionals}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {1152--1155},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3573039},
doi = {https://doi.org/10.1145/3539597.3573039}
}